patch-operator VS kubernetes

TitanSoft's imagepullsecret-patcher is a single-binary solution to replicating and using an image pull secret across all namespaces. It is not actively maintained, but the tool is simple enough that a small team should be able to patch and maintain a fork if needed. If you want to stick to other maintained open source tools, a reasonable solution can also be put together using external secrets operator. If you are operating a cluster at scale, you may already be using this. Red Hat's patch-operator can be used to attach the imported secrets to your service accounts across all namespaces, though there are some quirks to be wary of, due to the lack of a defined patch strategy for imagePullSecrets on service accounts.

Kubernetes

Containerization: Technologies like Docker, ModelKits, and Kubernetes to standardize and automate deployments in a controlled, scalable way.

One of those great revolutionary technologies that have transformed how developers think of and Interact with cloud infrastructure is Kubernetes. Initially Developed at Google, Kubernetes, also known as K8s, is an open source system for automating deployment, scaling, and management of containerized applications. It is Designed on the same principles that allow Google to run billions of containers a week, Kubernetes can scale without increasing your operations team.

In the ever-evolving landscape of modern software development, Kubernetes and Terraform stand out as two essential tools for managing infrastructure and applications. While both are critical for modern DevOps and cloud-native ecosystems, they serve different purposes and operate in distinct domains. Understanding the differences between Kubernetes and Terraform is key to leveraging them effectively. Let’s dive deeper into what these tools are and how they compare.

This blog series will walk you through what Kubernetes and Amazon Web Services (AWS) are, how they complement each other, and how you can use them to build internet-scale applications. Part 0 (this post) will introduce the basics. Future posts will include boilerplate code to help you set up your own Kubernetes cluster in AWS and practical examples of building scalable services. Onward!

Example: Kubernetes, a widely used system for managing and organizing software containers, relies heavily on its extensive documentation. Non-developers contribute to its clarity, ensuring that even newcomers can understand how to use the platform.

12. Kubernetes

Kubernetes (K8s) is currently the most popular container orchestrator, originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF). It provides a robust platform for automating deployment, scaling, and operations of containerized applications.

Kubernetes, or K8s in my parlance, is a whole different animal. Having managed numerous Kubernetes clusters, I can tell you that this was indeed much more than just a container orchestrator; it's a full-featured platform to run distributed systems. It was open-sourced by Google, drawing on their experience running large-scale container deployments, and it is now the de facto standard in container orchestration.

In k8s world every resource created via controller. Like there are inbuilt controllers for pods, deployments , replica set etc. So basically, Controllers are nothing but a control loop that continuously monitor the state of the cluster and take actions to bring the cluster into the desired state. The resources have a spec that provides the desired state. The controller checks the current states. If it doesn’t match the desired state, it will make the appropriate changes or modifications to bring it closer to the desired state.